Ansgar Walther

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ansgar Walther trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tin Kam Ho

Papers from Ansgar Walther's perspective

Ordered by how strongly the researchers Ansgar Walther trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. XGBoost: A Scalable Tree Boosting System
  3. Predicting good probabilities with supervised learning
  4. The Random Subspace Method for Constructing Decision Forests
  5. Did Securitization Lead to Lax Screening ? Evidence From Subprime Loans 2001-2006 ∗
  6. Robust De-anonymization of Large Sparse Datasets
  7. What Drives Racial and Ethnic Differences in High-Cost Mortgages? The Role of High-Risk Lenders
  8. Regression Shrinkage and Selection via the Lasso
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers